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Yousef Shaban

Yousef Shaban

"Skilled Data Labeler in Computer Vision and NLP Projects" "Expert in Text,

Egypt flagSharqia, Abu Hammad Center, Egypt
$9.00/hrEntry LevelRemotasksScale AI

Key Skills

Software

RemotasksRemotasks
Scale AIScale AI

Top Subject Matter

No subject matter listed

Top Data Types

Computer Code ProgrammingComputer Code Programming
TextText
VideoVideo

Top Task Types

Classification
Computer Programming Coding
Data Collection
Translation Localization

Freelancer Overview

I am an entry-level data labeler with hands-on experience working at Scale AI, where I’ve contributed to high-quality data annotation projects. My work includes text, image, and video labeling, with a focus on accuracy and efficiency to support AI model development. Despite being new to the field, I am proficient in using annotation tools and have a strong understanding of labeling techniques like bounding boxes, classification, and transcription. I am eager to continue learning and growing in the AI training data space while delivering consistent and reliable results.

Entry LevelArabicEnglish

Labeling Experience

Scale AI

Data Labeling and Annotation for AI Model Training in Remotasks

Scale AIComputer Code Programming
I participated in a comprehensive data labeling project aimed at training AI models. The project involved annotating large datasets for various applications, including image classification, object detection, and text generation. Key tasks included identifying and labeling key points, bounding boxes, and segmenting objects from raw images and videos. Additionally, I contributed to the evaluation and fine-tuning of AI models by ensuring data quality and consistency throughout the labeling process. I adhered to strict quality control measures, verifying label accuracy, and ensuring compliance with project specifications. This project helped in developing machine learning models for autonomous vehicles, healthcare applications, and AI-driven data analysis.

I participated in a comprehensive data labeling project aimed at training AI models. The project involved annotating large datasets for various applications, including image classification, object detection, and text generation. Key tasks included identifying and labeling key points, bounding boxes, and segmenting objects from raw images and videos. Additionally, I contributed to the evaluation and fine-tuning of AI models by ensuring data quality and consistency throughout the labeling process. I adhered to strict quality control measures, verifying label accuracy, and ensuring compliance with project specifications. This project helped in developing machine learning models for autonomous vehicles, healthcare applications, and AI-driven data analysis.

2024

Education

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Work History

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